Data and AI Ethics Foundations

سرفصل های دوره

Data ethics, AI Ethics, Data Ethics Principles, Developing Data Ethics Framework

1. Course Introduction

1. Welcome

2. Introduction to the course

3. About the Instructor

2. The Fundamentals Data Ethics

1. Introduction to Data and AI Ethics

2. Data Ethics Foundational Concepts

3. Moral dilemma scenarios from MiTs Moral Machine.html

4. Knowledge Check Data Ethics Foundational Concepts.html

3. The Fundamentals Data

1. Data Primer Data sources & Types

2.1 If you share data, use ODIs Data Spectrum classification and develop a data spectrum for your domain or the data you use.html

2. Data Primer Data Classification

3.1 Review the article which is a compilation of how much data is generated by using the Internet, Social Media, alone daily.html

3.2 Use learning material to understand in detail about data sharing.html

3. Data Primer Data Lifecycle

4.1 Real-world applications of AI.html

4.2 The interdependency between developments in AI and data is explained in this Forbes article.html

4.3 To understand more about AI, ML and Data Science, please review the article.html

4. Data Primer Data Analytics & AI

5.1 To understand a more about Industry 4.0.html

5. Data Primer Enabling AI & Industry 4.0

6. Knowledge Check Data Primer.html

4. Why is Data Ethics important

1.1 10 Examples of using AI for good.html

1.2 Explore further on advanced analytics.html

1. Importance of Data Ethics Positive Impacts

2.1 AI generated interview.html

2.2 Amazon recruitment tool.html

2.3 Facebooks Targeting Technology.html

2.4 FTCs Settlement with Flo Health Inc..html

2.5 ICO UK vs Clearview AI Inc..html

2.6 Mental Health Service Koko.html

2.7 Pokemon Go.html

2.8 Public Health England, UK.html

2. Importance of Data Ethics Negative Impacts

3. Knowledge Check Importance of Data Ethics.html

5. What are Data Ethics Principles

1.1 Read and Reflect on the SUM Values from Alan Turing Institute.html

1. Data Ethics Principles Introduction

2.1 Compare the data protection laws.html

2.2 DLA Pipers Data Protection Laws of the World.html

2.3 Read the publication from Harvard and reflect on what principles might be relevant to your organisation.html

2.4 Review the data protection legislations worldwide Compare and contrast how this relates to your country or state.html

2. Data Ethics Principles Guiding, Qualitative and Governing

3.1 UK Legislative Context.html

3. Data Ethics Principles Legislative Context

6. How to ethically evaluate data practices

1. Data Ethics Evaluation Introduction

2.1 Checklist for Data Science Teams Dataethics.eu.html

2.2 Checklist for Data Science Teams Driven Data.html

2.3 Data Ethics Checklist for Beginners.pdf

2. Data Ethics Evaluation Checklist Approach

3.1 Consequence Scanning Process from Doteveryone.html

3. Data Ethics Evaluation Consequence Scanning

4.1 Data Ethics Canvas Developed by the Open Data Institute.html

4.2 Data Ethics Framework Developed by the UK Government Digital Service.html

4.3 Systemic Data ethics framework.html

4. Data Ethics Evaluation Adopt a Framework Approach

7. How to develop and implement Data Ethics in an organisation

1.1 eXplainability Toolbox.html

1.2 Microsoft Fairlearn.html

1. Developing a custom Data Ethics Framework

2. Implementing Data Ethics is an organisation

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تولید کننده: Udemy